| 书目名称 | Efficient Topology Estimation for Large Scale Optical Mapping |
| 编辑 | Armagan Elibol,Nuno Gracias,Rafael Garcia |
| 视频video | |
| 概述 | Presents computational algorithms for the efficient estimation of large-scale photomosaics.Presents consistent tools for creating large area image mosaics from optical data obtained during surveys wit |
| 丛书名称 | Springer Tracts in Advanced Robotics |
| 图书封面 |  |
| 描述 | .Large scale optical mapping methods are in great demand among scientists who study different aspects of the seabed, and have been fostered by impressive advances in the capabilities of underwater robots in gathering optical data from the seafloor. Cost and weight constraints mean that low-cost ROVs usually have a very limited number of sensors. When a low-cost robot carries out a seafloor survey using a down-looking camera, it usually follows a predefined trajectory that provides several non time-consecutive overlapping image pairs. Finding these pairs (a process known as topology estimation) is indispensable to obtaining globally consistent mosaics and accurate trajectory estimates, which are necessary for a global view of the surveyed area, especially when optical sensors are the only data source. This book contributes to the state-of-art in large area image mosaicing methods for underwater surveys using low-cost vehicles equipped with a very limited sensor suite. The main focus has been on global alignment and fast topology estimation, which are the most challenging steps in creating large area image mosaics. This book is intended to emphasise the importance of the topology est |
| 出版日期 | Book 2013 |
| 关键词 | Global Alignment; Image Mosaicing; Optical Mapping; Robotics; Topology Estimation; Underwater Robots; Visi |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-30313-5 |
| isbn_softcover | 978-3-642-43203-3 |
| isbn_ebook | 978-3-642-30313-5Series ISSN 1610-7438 Series E-ISSN 1610-742X |
| issn_series | 1610-7438 |
| copyright | Springer-Verlag GmbH Berlin Heidelberg 2013 |
发表于 2025-3-21 17:12:41
